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生态环境大数据平台架构和技术初探 被引量:34

Architecture and technical exploration of big data platform for ecological environment
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摘要 大数据技术的产生给海量生态环境数据的处理以及全球生态环境问题的监测和分析提供了新的思路。本文通过分析大数据的基本特征,对生态环境大数据的概念以及特征进行了简要阐述,并参考一般大数据的系统结构,从4个方面设计了生态环境大数据综合平台的总体构架:数据平台、基础设施平台、技术平台及应用服务平台。从数据获取、数据存储与管理、数据计算模式与系统和数据分析共4个模块详细阐述了生态环境大数据技术平台构建的关键技术。最后,针对生态环境大数据未来的发展,提出了的一些思考和建议。 The generation of big data technology provides a new way for processing massive data related to ecological environment,as well as monitoring and analyzing global ecological environmental problems. This paper first described the basic concepts of big data,and the concept and feature of ecological environmental big data. Then,considering the system structure of general big data,the architecture of big data platform for ecological environment was designed from four key aspects,including data platform,infrastructure platform,technology platform and application service platform. After the main frame is analyzed,key technologies for building technology platform of ecological environmental big data were elaborated in four parts: data acquisition,data storage and management,data computing pattern and data analysis. Finally,in view of future development and difficulties,we put forward some thinking and proposals.
出处 《生态学杂志》 CAS CSCD 北大核心 2017年第3期824-832,共9页 Chinese Journal of Ecology
基金 青海省2013年科技促进新农村建设计划项目(2013-N-556) 四川省林业厅项目-区域林业碳汇/计量体系构建及应用研究(2009-04)资助
关键词 生态环境 大数据 平台架构 技术 ecological environment big data platform architecture technology
作者简介 赵芬,女,1989年生,博士研究生,主要研究方向为全球变化生态学、遥感与G1S技术在生态环境研究中的应用等。E—mail:fenzha02015@163.com 通讯作者,E—mail:mingxu@igsnrr.ao.cn
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  • 1梅立军,周强,臧路,陈祖舜.知网与同义词词林的信息融合研究[J].中文信息学报,2005,19(1):63-70. 被引量:28
  • 2董振东,董强,郝长伶.知网的理论发现[J].中文信息学报,2007,21(4):3-9. 被引量:99
  • 3李明禄 曹健 饶若楠.基于Web Services的应用集成技术研究[EB/OL].www.iturls.com.,.
  • 4Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html.
  • 5Bryant R E, Katz R H, Lazowska E D. Big-Data computing : Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http:// www. cra. org/ccc/docs/init/Big_Data, pdf.
  • 6Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www, sciencemag, org/site/ special/data/, 2011.
  • 7Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra, org/ccc/docs/init/bigdata whitepaper, pdf.
  • 8Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [ 2012-10-02 ]. http://www, mekinsey, corn/ Insights]MGI[Research/Teehnology _ and _ Innovation]Big _ data The next frontier for innovation.
  • 9World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012- 10-02]. http://www3, weforum, org/docs/WEF TC MFS BigDataBigImpact_Briefing 2012. pdf.
  • 10Big Data Across the Federal Government [EB/OL]. [2012-10-02]. http://www, whitehouse, gov/sites/default/ files/microsites/ostp/big_data fact sheet_final_ 1. pdf.

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